OpenSearch Fundamentals Training Course

This instructor-led, live training, delivered in US (either online or on-site), is tailored for developers and administrators responsible for implementing OpenSearch to facilitate distributed search and data analytics within a unified, secure infrastructure for government use.

Upon completion of this training, participants will be able to:

• Configure the necessary development environment to begin constructing search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Evaluate the three migration approaches (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Implement data indexing, create data streams, execute queries, and streamline cross-cluster operations within the OpenSearch ecosystem.
• Utilize plugins, APIs, clients, and ingestion tools (including Beats, Logstash, and Grafana) to optimize search capabilities while ensuring cluster security.
• Deploy OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance activities.

OpenSearch constitutes a scalable, open-source search and analytics platform engineered for high-volume data indexing, system observability, and real-time analytical processing within distributed infrastructures.

This instructor-led, live training (online or onsite) is tailored for senior engineers and architects responsible for the design, deployment, and administration of OpenSearch clusters. The focus is on supporting large-scale data ingestion and analytics workloads, whether deployed on-premises or via AWS OpenSearch Service, to ensure robust operational capabilities for government and public sector entities.

Upon completion of this training, participants will be proficient in:

• Designing and deploying highly scalable OpenSearch clusters across diverse operational environments.
• Optimizing indexing, search retrieval, and storage configurations for maximum performance at scale.
• Integrating OpenSearch with AWS OpenSearch Service to support hybrid and managed deployment models.
• Implementing comprehensive observability, high availability, and automated recovery strategies for operational resilience.

Instructional Methodology

• Instructor-led theoretical sessions incorporating guided professional discussions.
• Extensive hands-on exercises designed to simulate real-world scaling challenges and operational constraints.
• Practical laboratory work focusing on distributed deployment and performance tuning.

Curriculum Adaptability

• This course may be customized to align with the specific data volumes, performance objectives, and deployment environments of your organization.

OpenSearch serves as an open-source engine for search and analytics, derived from the original Elasticsearch project. It facilitates distributed search, log analysis, and observability capabilities while mitigating proprietary license risks and reducing dependency on managed service vendors for government and public sector operations.

This live, instructor-led training program, available either virtually or onsite, is designed for intermediate-level DevOps and search engineering professionals seeking to migrate workloads from Amazon OpenSearch, Elastic Cloud, or Splunk to a sovereign infrastructure.

Upon completion, participants will be equipped to:

• Deploy and secure multi-node OpenSearch clusters in accordance with federal standards.
• Ingest logs, traces, and metrics using Beats, Fluent Bit, and OpenTelemetry frameworks.
• Develop and configure dashboards within OpenSearch Dashboards for situational awareness.
• Implement role-based access controls and index lifecycle policies to ensure data governance.

Instructional Format

• Interactive lectures supported by professional discussion.
• Extensive exercise sets and practical application tasks.
• Hands-on implementation within a live-lab environment.

Customization for Government Requirements

• To request a tailored training curriculum aligned with specific agency needs, please contact our training coordination office to arrange details.